Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 48-68 |
| Gender | Female, 51% |
| Confused | 1.1% |
| Disgusted | 0.6% |
| Surprised | 0.9% |
| Sad | 91.1% |
| Happy | 0.3% |
| Calm | 4.1% |
| Angry | 1.8% |
AWS Rekognition
| Age | 26-44 |
| Gender | Male, 78.1% |
| Confused | 0.8% |
| Happy | 13% |
| Angry | 1.4% |
| Surprised | 1% |
| Calm | 76.4% |
| Disgusted | 0.3% |
| Sad | 7% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 50.4% |
| Confused | 0.9% |
| Surprised | 0.9% |
| Calm | 4% |
| Disgusted | 0.2% |
| Angry | 1.6% |
| Happy | 0.3% |
| Sad | 92.1% |
Microsoft Cognitive Services
| Age | 30 |
| Gender | Female |
Feature analysis
Categories
Imagga
| paintings art | 59.1% | |
| text visuals | 10.6% | |
| events parties | 10.1% | |
| food drinks | 9.6% | |
| people portraits | 6.3% | |
| interior objects | 1.9% | |
| pets animals | 1.4% | |
Captions
Microsoft
created on 2019-07-02
| a close up of a book | 39.4% | |
| a book on a table | 32.7% | |
| close up of a book | 32.6% | |
Text analysis
Amazon
